How to Update TensorFlow to 2.0 in Anaconda

How to Update TensorFlow to 2.0 in Anaconda

Learn how to update TensorFlow to the newest version, 2.0, in Anaconda. This guide will show you the steps necessary to get everything running smoothly.

Check out this video for more information:


TensorFlow is an open-source platform for machine learning. It is used by companies and organizations all over the world, including Google, Facebook, and Netflix. TensorFlow 2.0 was released in September 2019 and is the latest version of TensorFlow. In this article, we will show you how to update TensorFlow to 2.0 in Anaconda.

What is TensorFlow?

TensorFlow is a free and open source software library for data analysis and machine learning. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it is widely used for deep learning applications such as computer vision, natural language processing, and speech recognition.

What’s new in TensorFlow 2.0?

TensorFlow 2.0 is now available! This is a major update that includes many new features and improvements, such as:

– Eager execution by default
– A unified Keras API
– Improved performance and eager mode debugging
– Support for custom models and layers
– And much more!

If you’re using Anaconda, you can easily update to TensorFlow 2.0 by running the following command:

conda install tensorflow==2.0

Why update to TensorFlow 2.0?

There are many reasons why you might want to update to TensorFlow 2.0. Maybe you’re curious about the new features that have been added, or maybe you’ve read that TensorFlow 2.0 is much faster than its predecessor.

Whatever your reason for wanting to update, it’s important to note that TensorFlow 2.0 is not compatible with Python 3.5. If you’re using Anaconda, you’ll need to use the Anaconda Navigator application to update your Python version before installing TensorFlow 2.0.

Once you’ve done that, updating to TensorFlow 2.0 is simple. Just open a terminal and type:

`pip install – upgrade tensorflow`

If you want to install the GPU version of TensorFlow, you’ll need to first install the NVIDIA CUDA toolkit. You can find instructions for doing so [here]( Once CUDA is installed, you can install the GPU version of TensorFlow by typing:

`pip install – upgrade tensorflow-gpu`

How to update TensorFlow in Anaconda

Assuming you have Anaconda installed, you can update TensorFlow using the following command:

conda update tensorflow

If you want to install a specific version of TensorFlow, you can use the following command:

pip install tensorflow==2.0.0

Updating TensorFlow in Anaconda (continued)

If you have Anaconda installed on your system, you can easily update TensorFlow to the latest 2.0 version using the conda command. First, make sure that you have the latest version of Anaconda installed. Then, open a terminal window and type the following command:

conda update tensorflow

This will update TensorFlow and all of its dependencies to the latest 2.0 version.


TensorFlow 2.0 is now available for download. In order to update TensorFlow, you will first need to uninstall the old version of TensorFlow. After uninstalling TensorFlow, you can install the new version by using the pip command.


-TF 2.0 release notes:
-GPU support guide:
-Source installation guide:

Keyword: How to Update TensorFlow to 2.0 in Anaconda

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